This company provides an AI network solution designed to enhance loan portfolio performance for lending partners. The platform analyzes customer applications using real-time evaluation to more accurately measure risk and predict borrower behavior. This capability allows partners to approve a higher volume of applications, leading to increased customer acquisition and greater long-term revenue.
Funding
Funding not disclosed
KCFounders
Product
Problem
Traditional underwriting relies on static credit scores and rigid cut‑offs, which often reject credit‑worthy borrowers and provide limited insight into future repayment behavior. This results in lower loan conversion rates and suboptimal revenue for lenders.
Solution
Pallav delivers an AI‑driven risk evaluation network that scores loan applications in real time. By ingesting proprietary data sources beyond standard credit bureaus and applying state‑of‑the‑art machine‑learning models, the platform predicts borrower behavior more accurately than conventional methods. The service is exposed through a low‑latency API that returns approval and pricing decisions within seconds, allowing partners to increase approved volumes while maintaining comparable risk levels. Integration requires minimal changes to existing workflows and supports regulatory compliance throughout the decisioning process.
Target Audience
The primary customers are banks, auto lenders, and fintech platforms that originate unsecured consumer credit and seek to boost approval rates without increasing default risk.
Features
- Real‑time API integration delivering risk‑based approval and pricing decisions in under 2 seconds
- Machine‑learning models trained on multiple unsecured products (personal loans, credit cards, auto loans, BNPL)
- Proprietary data enrichment beyond traditional credit bureaus (e.g., alternative financial signals) to improve creditworthiness assessment
- Risk scoring that enables up to 100 % higher approval rates while keeping overall risk exposure stable
- Flexible pricing engine that adjusts loan terms based on predicted repayment behavior
- Cloud‑native architecture with scalable compute and secure data handling compliant with financial regulations
- Dashboard and reporting tools for monitoring portfolio performance and model auditability